Artificial intelligence is posing threats in the IT sector for the race of the jobs as the most of the companies are adopting to the artificial intelligence and the entities of the software platform.

Even Alexa and Viv are converging to the cloud connected services and AI and more over speech savy algorithms are present.

“Amelia is not just another fun and friendly chatbot,” says Ben Case, solutions architect for IPsoft, the “digital labor company” that created her. “Her goal is to be practical and pragmatic; to answer questions, retrieve information, and solve problems using her semantic network and sophisticated sentiment analysis.”

The classic notion of AI is going to be a machine so smart it fools you into thinking it’s a person. But “artificial intelligence”!! has become a word for a jumble of technologies such as machine learning, natural language processing, cognitive computing, and robotic process automation that automate rote tasks and help people make better decisions.

“Fundamentally, AI changes the businesses and operational dynamics program in any industry by enabling machines to find answer and make decisions that humans will  make,” says Tim Tuttle, founder and CEO of Mindmeld, makers of a conversational AI platform. “For example, AI can help field a much larger range of effects and answer those not requiring a person’s time, giving IT persons more time to focus on the difficult questions machines which are not equipped to answer.”

Advanced visualization in radiology is instrumental in diagnosis and communication with referring clinicians, there is a need to render DICOM images as 3D printed models capable of providing both tactile feedback and tangible depth… information about anatomic and pathologic states. 3D printed models, already entrenched in the nonmedical sciences, are rapidly being embraced in medicine as well as in the lay community. Incorporating 3D printing from images generated and interpreted by radiologists presents particular challenges, including training, materials and equipment, and guidelines. The overall costs of a 3D printing laboratory must be balanced by the clinical benefits. It is expected that the number of 3D-printed models generated from DICOM images for planning interventions and fabricating implants will grow exponentially. Radiologists should at a minimum be familiar with 3D printing as it relates to their field, including types of 3D printing technologies and materials used to create 3D-printed anatomic models, published applications of models to date, and clinical benefits in radiology.

Medical Applications of 3D Printing – by Carsten Engel

Carsten Engel graduated at the University of Brussels (ULB) as a biomedical engineer and currently works as a researcher at SIRRIS (Collective Centre of the Belgian Technology Industry) which has the biggest European Additive Manufacturing machine parc. His main work involves R&D projects in the field of biomedical and aerospace applications. He worked on specific cases (for example the total jaw replacement in Titanium fully patient-custom) in order to help surgeons in the field of biomedical 3D Printing using various biocompatible materials. He is currently finishing a thesis for his MBA where the topic involves the strategic positioning & the viability of a startup company in the field of metal Additive Manufacturing — 3D Printing for the aerospace sector.